Senior Data Analyst, Risk Analytics

About This Opportunity

We are representing a confidential client in the ticketing technology sector seeking a Senior Data Analyst to join their Risk Analytics team. This role sits at the intersection of fraud prevention, statistical modeling, and cutting-edge AI implementation. You'll be the analytical driver behind fraud strategy, building models and experiments that enable smarter, faster decisions while reducing dependency on external vendors and static rule sets.

Our client values analytical independence and forward-thinking approaches to AI adoption. You'll work closely with the Risk Analytics Manager, owning the technical and statistical work that transforms strategy into measurable outcomes.

Responsibilities

• Build and maintain Python-based analyses, models, and data pipelines supporting fraud decisioning, vendor evaluation, and internal risk scoring
• Design and execute statistical experiments from hypothesis through results communication, including A/B tests, holdout experiments, and vendor performance assessments
• Develop and iterate on internal fraud risk models using transaction and vendor data; own model calibration, validation, and ongoing performance monitoring
• Leverage AI tools including LLMs, code generation, and agentic workflows to accelerate delivery and improve quality; help shape how AI gets embedded into analytical processes and identify automation opportunities
• Conduct vendor performance analysis: assess score calibration, measure lift across segments, and surface findings that inform routing decisions and contract discussions
• Build and maintain dashboards and reports in Looker and Hex; develop SQL models and data views to support team analytical needs
• Monitor fraud and operations metrics, investigate anomalies, and escalate findings with clear recommendations
• Collaborate with Risk Operations, Engineering, Payments, and Customer Experience teams to translate analysis into actionable strategies

What We're Looking For

• 3+ years of experience in fraud analytics, risk, fintech, or a quantitatively demanding analytical role
• Strong Python skills with ability to build end-to-end analyses and pipelines independently; proficiency with pandas, scikit-learn, statsmodels, or equivalent libraries
• Strong SQL capabilities; able to own complex data pulls, understand warehouse structures, and build views and models others depend on
• Solid statistical foundation: can design statistically valid experiments, perform significance testing, assess model calibration, and communicate findings clearly to non-technical audiences
• Hands-on experience building, training, and validating classification models independently; familiarity with model evaluation methods, handling class imbalance, and translating model outputs into business decisions
• Genuine enthusiasm for AI tools: actively uses LLMs and code generation in daily work, thinks strategically about AI-assisted workflows, and takes initiative identifying where AI can replace manual effort
• Comfort operating in ambiguity; you define problems as much as solve them
• Familiarity with fraud vendors such as Forter, Riskified, or Sardine is a plus
• Experience with Looker or similar BI tools is a plus

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and fit for this role. Once qualified, we submit your profile to our client for consideration. Please do not attempt to contact the client directly, as all applications must come through our official process to be considered.

Pay

This is a full-time, remote-eligible position based in the United States. Our client offers a flexible work environment where you can work remotely or utilize office space as preferred. The role includes equity, discretionary annual bonus eligibility, comprehensive health benefits, unlimited PTO, 401(k) matching, family leave, wellness stipends, and additional perks.

Equal Opportunity

Get A Job.ai is committed to providing equal employment opportunities to all applicants regardless of race, color, religion, creed, age, national origin, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by law.